AQC0560

Nanopublication — Computational Image Analysis - AQC0560

Claim 1: Computational Image Analysis - AQC0560

Computational image analysis [3] of artwork C Major9 - Research [1] on Harmony - Variation 12 (AQC0560) [2] by Arnaud Quercy [2] using k-means clustering method with 10 color extraction parameters. Analysis includes color distribution, texture metrics, brightness/contrast measurements, and spatial pattern characterization. Analysis completed on 2026-02-04.

Context

Analysis performed according to MMIDS-CMP-2025 [3] includes four metric categories: (1) Color distribution via k-means (10 colors), (2) Texture analysis using Haralick features, (3) Brightness and contrast measurements, (4) Spatial pattern characterization. Source image [5]: 2882x3842 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 262532 19.0 violet very dark gray
2 141423 17.5 violet very dark gray
3 CF5D32 12.2 orange chocolate
4 E8774C 10.8 orange coral
5 E9B69D 9.5 orange burlywood
6 E4D9CD 8.0 orange gainsboro
7 D3A38D 7.4 orange tan
8 CEC3B7 7.1 orange silver
9 413B47 6.7 violet dusty mauve
10 706268 1.8 red dusty mauve
11 8F4840 0.3 red-orange burnt sienna [Accent]
12 9B8E7D 0.3 yellow-orange gray [Accent]

Color Families:

Family %
orange 55.0
violet 43.2
red 1.8
red-orange 0.3
yellow-orange 0.3

Accent Colors:

Hex Family Name Chroma
8F4840 red-orange burnt sienna 34.1
9B8E7D yellow-orange gray 11.2

Texture Analysis

Metric Value
Global Roughness 0.283
Mean Local Roughness 0.013
Roughness Uniformity 0.011
Edge Density 0.056
Mean Gradient Magnitude 0.145
Gradient Variance 0.021
Gradient Smoothness 0.0
Directional Coherence 0.012
Pattern Complexity 0.115
Pattern Repetition 1.0
Detail Frequency Ratio 0.581
Spatial Variation 0.245
Texture Consistency 0.355

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.437
Brightness Variance 0.283
Brightness Uniformity 0.351
Brightness Skewness 0.066
Brightness Entropy 7.514
Rms Contrast 0.283
Michelson Contrast 1.0
Weber Contrast 0.883
Mean Local Contrast 0.016
Contrast Uniformity 0.252
Dynamic Range 1.0
Effective Dynamic Range 0.773
Shadow Percentage 43.348
Midtone Percentage 25.539
Highlight Percentage 31.113
Shadow Clipping 0.001
Highlight Clipping 0.001
Tonal Balance 0.175
Fine Contrast 0.006
Medium Contrast 0.02
Coarse Contrast 0.042
Multiscale Contrast Ratio 0.156
Edge Contrast 0.145
Contrast Clustering 0.645

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.761
Color Clustering 0.769
Color Transition Smoothness 0.614
Transition Uniformity 0.849
Sharp Transition Ratio 0.1
Transition Directionality 0.014
Mean Saturation 0.384
Saturation Variance 0.049
Low Saturation Ratio 0.401
Medium Saturation Ratio 0.453
High Saturation Ratio 0.146
Saturation Clustering 0.999
Hue Concentration 0.407
Complementary Balance 0.0
Analogous Dominance 0.536
Temperature Bias 0.482

Methodology

This analysis employs standardized computational methods for objective image characterization. Color extraction uses k-means clustering algorithm. Texture analysis applies Haralick feature extraction. Brightness metrics include mean, variance, and distribution analysis. Spatial patterns are characterized through coherence and clustering measurements. All methods are deterministic and reproducible. Analysis performed by Multimodal Institute's computational imaging systems.

References

[1] Arnaud Quercy (2024). C Major9 - Research on Harmony - Variation 12 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0560.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-major9-research-on-harmony-variation-12_6a0.html

[3] Quercy, A. (2025). Computational Image Analysis Standard - MMIDS-CMP-2025 https://multimodal.institute/en/publications/2025/10/mmids-cmp-2025-computational-image-analysis-standard-dg1.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

8b7802256fa1a2b7d7aad8025dd07973ea005367e6fb641e9a8821786de8a8db